MR
Mayur Rathi
@sickn33
⭐ 47.3k GitHub stars

vulnerability-scanning

vulnerability-scanning is an code AI skill with a core value of Scan systems and dependencies for CVEs and security vulnerabilities. It helps developers solve real-world problems in the code domain, boosting efficiency, automating repetitive tasks, and optimizing workflows.

Scan systems and dependencies for CVEs and security vulnerabilities.

Last verified on: 2026-10-06

Quick Facts

Category code
Works With Claude
Source sickn33/antigravity-awesome-skills
Stars ⭐ 47.3k
Last Verified 2026-10-06
Risk Level Low
mkdir -p ./skills/vulnerability-scanning && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/vulnerability-scanning/SKILL.md -o ./skills/vulnerability-scanning/SKILL.md

Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).

Skill Content

> **⚠️ AUTHORIZED USE ONLY**

> This skill is for educational purposes or authorized security assessments only.

> You must have explicit, written permission from the system owner before using this tool.

> Misuse of this tool is illegal and strictly prohibited.


> **Mandatory confirmation gate**

> Before running any command that probes, exploits, changes, persists on, extracts data from, or attempts credential access against a target:

> 1. Ask the user to state the exact target URL, IP, account, or resource.

> 2. Ask the user to confirm written authorization and the permitted scope.

> 3. Show the exact command(s) and explain their expected effect.

> 4. Wait for explicit confirmation in the current conversation.

>

> Without that confirmation, remain read-only and provide defensive guidance only. Prefer a sandbox, disposable VM, or controlled lab.


# Vulnerability Scanning


Identify and prioritize security vulnerabilities across infrastructure and applications.


When to Use This Skill


Use this skill when:

- Performing security assessments

- Implementing vulnerability management programs

- Meeting compliance requirements

- Triaging and prioritizing remediation

- Scanning infrastructure for known CVEs


Prerequisites


- Access to scanning tools

- Network access to targets

- Appropriate authorization


Vulnerability Scanning Tools


| Tool | Type | Best For |

|------|------|----------|

| Nessus | Commercial | Enterprise scanning |

| OpenVAS | Open Source | Free alternative |

| Qualys | Cloud SaaS | Large scale |

| Nexpose/InsightVM | Commercial | Asset management |

| Nuclei | Open Source | Template-based |


OpenVAS Setup


Docker Deployment


bash
# Run OpenVAS container
docker run -d --name openvas \
  -p 443:443 \
  -v openvas-data:/data \
  greenbone/openvas-scanner

# Access web UI at https://localhost
# Default credentials: admin/admin

Scanning Commands


bash
# Create target
omp -u admin -w admin --xml='<create_target>
  <name>Web Servers</name>
  <hosts>192.168.1.0/24</hosts>
</create_target>'

# Create task
omp -u admin -w admin --xml='<create_task>
  <name>Weekly Scan</name>
  <target id="target-uuid"/>
  <config id="daba56c8-73ec-11df-a475-002264764cea"/>
</create_task>'

# Start task
omp -u admin -w admin --xml='<start_task task_id="task-uuid"/>'

# Get results
omp -u admin -w admin --xml='<get_results task_id="task-uuid"/>'

Nessus


API Usage


python
import requests

class NessusScanner:
    def __init__(self, url, access_key, secret_key):
        self.url = url
        self.headers = {
            'X-ApiKeys': f'accessKey={access_key}; secretKey={secret_key}',
            'Content-Type': 'application/json'
        }
    
    def create_scan(self, name, targets, template='basic'):
        """Create a new scan."""
        templates = self.get('/editor/scan/templates')
        template_uuid = next(
            t['uuid'] for t in templates['templates'] 
            if t['name'] == template
        )
        
        payload = {
            'uuid': template_uuid,
            'settings': {
                'name': name,
                'text_targets': targets,
                'enabled': True
            }
        }
        return self.post('/scans', payload)
    
    def launch_scan(self, scan_id):
        """Start a scan."""
        return self.post(f'/scans/{scan_id}/launch')
    
    def get_results(self, scan_id):
        """Get scan results."""
        return self.get(f'/scans/{scan_id}')
    
    def export_report(self, scan_id, format='pdf'):
        """Export scan report."""
        payload = {'format': format}
        response = self.post(f'/scans/{scan_id}/export', payload)
        file_id = response['file']
        
        # Wait for export
        while True:
            status = self.get(f'/scans/{scan_id}/export/{file_id}/status')
            if status['status'] == 'ready':
                break
            time.sleep(5)
        
        return self.get(f'/scans/{scan_id}/e

🎯 Best For

  • Security auditors
  • DevSecOps teams
  • Compliance officers
  • Claude users
  • Software engineers

💡 Use Cases

  • Auditing dependencies for known CVEs
  • Scanning API endpoints for auth gaps
  • Code quality improvement
  • Best practice enforcement

📖 How to Use This Skill

  1. 1

    Install the Skill

    Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.

  2. 2

    Load into Your AI Assistant

    Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.

  3. 3

    Apply vulnerability-scanning to Your Work

    Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.

  4. 4

    Review and Refine

    Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.

❓ Frequently Asked Questions

Can this replace a dedicated SAST tool?

AI-based security review is complementary to SAST tools. Use it as a first-pass filter, not a replacement.

Is vulnerability-scanning compatible with Cursor and VS Code?

Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.

Do I need specific dependencies for vulnerability-scanning?

Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.

How do I install vulnerability-scanning?

Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/vulnerability-scanning/SKILL.md, ready to use.

Can I customize this skill for my team?

Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.

⚠️ Common Mistakes to Avoid

Only scanning surface-level issues

Deep security review requires understanding your app architecture, not just regex patterns.

Skipping validation

Always test AI-generated code changes, even for simple refactors.

Missing dependency updates

Check if the skill requires updated dependencies or new packages.

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